Model Comparison

Gemini 2.5 Pro vs o1-mini

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Pro costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 2.4x cheaper than o1-mini ($3.00/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 1.2x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than Gemini 2.5 Pro.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to o1-mini's 128,000 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas o1-mini does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

o1-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.5 Pro

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while o1-mini was released on 2024-09-12.

Gemini 2.5 Pro is 8 months newer than o1-mini.

Gemini 2.5 Pro

May 20, 2025

11 months ago

8mo newer
o1-mini

Sep 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while o1-mini's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without o1-mini's cutoff date.

Gemini 2.5 Pro

Jan 2025

o1-mini

—

Provider Availability

Gemini 2.5 Pro is available from Google. o1-mini is available from OpenAI, Azure.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (83.0% vs 60.0%)
OpenAI
GoogleGemini 2.5 Pro
OpenAIo1-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
OpenAI
o1-mini

FAQ

Common questions about Gemini 2.5 Pro vs o1-mini

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and o1-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
Gemini 2.5 Pro is 2.4x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. o1-mini costs $3.00/M input and $12.00/M output via openai.
Gemini 2.5 Pro supports 1.0M tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 128K), input pricing ($1.25 vs $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and o1-mini is developed by OpenAI.